Growth Ideas and recommended campaigns

Growth Ideas analyzes your store's own sales data and suggests discount campaigns worth running. Each suggestion comes with a score, an explanation of why it might work, and a button that creates the campaign for you, pre-filled. The page is titled Recommended Campaigns and is marked AI powered and Beta.

Run a scan

1. Click Growth Ideas in the Hype Discounts navigation.
2. Click Get Recommendations.
3. Wait. The page shows Scanning your store with AI... and refreshes itself while the scan runs.

Each scan replaces the previous set of recommendations. Run it again whenever your sales pattern changes — after a season, a product launch, or a change in your product mix.

Reading the results

Recommendations are listed in a table with four columns:

• Campaign name — the suggested campaign, with its discount type beneath.
• Type — how the campaign would be offered.
• Score — a number out of 100. Higher means Hype is more confident the campaign suits your store right now. The ring around the number is color-coded: 90 and above is the strongest band, then 80, 70 and 60, and anything below 60 is the weakest.
• Why this could work — a short explanation written from your store's numbers.

Click a row to open the full recommendation, including the complete Why this could work write-up. From there, Create New Campaign opens the normal campaign editor with the recommendation's products, tiers and values already filled in. Nothing is created on your storefront until you finish and save the campaign yourself — review every value first.

The score is a ranking aid, not a forecast. It says how well the recommendation fits the data Hype could see; it does not predict revenue.

What gets analyzed

Four engines run on every scan, one per discount type:

• Order Discount — customer mix, discount usage, and market performance.
• Gift with Purchase
• Cart Goals
• Volume Discount — product velocity, inventory depth and margin.

A scan can return several ideas per engine, or none from an engine that finds no opportunity. An empty result usually means your store does not have enough order history yet for that engine to say anything useful.

How the scoring works, in plain terms

Order Discount recommendations come from three checks:

• New customer acquisition. If fewer than 20% of your orders come from first-time buyers, Hype suggests a first-purchase discount. The fewer new customers you have, the higher the score.
• Customer retention. If fewer than 50% of your orders come from returning customers, Hype suggests a returning-customer discount. Acquisition outranks retention when both apply.
• Market performance. Hype compares each of your markets against your best-performing one. A market below half of the top market's sales gets a market-specific offer; a market below a quarter gets a more aggressive one.

The suggested discount percentage is capped by your gross margin: above 50% margin Hype starts from 15%, above 30% from 10%, and below that from 5%. It then adjusts for the audience and rounds to the nearest 5%, never below 5% or above 25%. Minimum purchase amounts are set just under your average order value for that segment — 80% of it for new customers, 90% for returning ones — so the offer is reachable without giving away basket size.

Volume Discount recommendations score each product on three things and weight them:

• How slowly it sells (50%). A product selling less than one unit every two days scores well; anything faster scores zero, because it does not need help.
• How long its stock will last (35%). Stock covering three times the analysis window scores full marks; nothing in stock scores zero.
• Its margin (15%). The score is simply the margin percentage, because a thin-margin product cannot absorb much of a discount.

Hype ranks products by that combined score, takes the strongest candidates, and groups them into campaigns with up to three tiers each.

Limits

• Growth Ideas is a beta feature.
• Recommendations depend on your Shopify sales and inventory data. A new store, or one with little order history, will produce few or no suggestions.
• Scanning replaces the previous results. There is no history of past scans.
• Creating a campaign from a recommendation still requires you to review and save it.

Related

• Shopify Flow: Toggle Hype campaign
• Syncing smart collections